Stakeholder perspectives on contributors to delayed and inaccurate diagnosis of cardiovascular disease and their implications for digital health technologies: a UK-based qualitative study.


Journal

BMJ open
ISSN: 2044-6055
Titre abrégé: BMJ Open
Pays: England
ID NLM: 101552874

Informations de publication

Date de publication:
20 May 2024
Historique:
medline: 22 5 2024
pubmed: 22 5 2024
entrez: 21 5 2024
Statut: epublish

Résumé

The aim of this study is to understand stakeholder experiences of diagnosis of cardiovascular disease (CVD) to support the development of technological solutions that meet current needs. Specifically, we aimed to identify challenges in the process of diagnosing CVD, to identify discrepancies between patient and clinician experiences of CVD diagnosis, and to identify the requirements of future health technology solutions intended to improve CVD diagnosis. Semistructured focus groups and one-to-one interviews to generate qualitative data that were subjected to thematic analysis. UK-based individuals (N=32) with lived experience of diagnosis of CVD (n=23) and clinicians with experience in diagnosing CVD (n=9). We identified four key themes related to delayed or inaccurate diagnosis of CVD: symptom interpretation, patient characteristics, patient-clinician interactions and systemic challenges. Subthemes from each are discussed in depth. Challenges related to time and communication were greatest for both stakeholder groups; however, there were differences in other areas, for example, patient experiences highlighted difficulties with the psychological aspects of diagnosis and interpreting ambiguous symptoms, while clinicians emphasised the role of individual patient differences and the lack of rapport in contributing to delays or inaccurate diagnosis. Our findings highlight key considerations when developing digital technologies that seek to improve the efficiency and accuracy of diagnosis of CVD.

Identifiants

pubmed: 38772579
pii: bmjopen-2023-080445
doi: 10.1136/bmjopen-2023-080445
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e080445

Informations de copyright

© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Auteurs

Kamilla Abdullayev (K)

School of Psychology, University of Sussex, Falmer, UK kga21@sussex.ac.uk.

Olivia Gorvett (O)

School of Psychology, University of Sussex, Falmer, UK.

Anna Sochiera (A)

School of Psychology, University of Sussex, Falmer, UK.

Lynn Laidlaw (L)

Honorary Fellow, College of Health, Wellbeing and Life Sciences, Centre for Applied Health & Social Care Research (CARe), Sheffield Hallam University, Sheffield, UK.

Timothy Chico (T)

Clinical Medicine, School of Medicine and Population Health, The Medical School, The University of Sheffield, Sheffield, UK.

Matthew Manktelow (M)

Centre for Personalised Medicine, Ulster University Faculty of Life and Health Sciences, Londonderry, UK.

Oliver Buckley (O)

School of Computing Sciences, University of East Anglia, Norwich, UK.

Joan Condell (J)

Centre for Personalised Medicine, Ulster University Faculty of Life and Health Sciences, Londonderry, UK.

Richard Van Arkel (R)

Imperial College London, London, UK.

Vanessa Diaz (V)

Department of Mechanical Engineering, University College London, London, UK.
Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London, UK.

Faith Matcham (F)

School of Psychology, University of Sussex, Falmer, UK.

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Classifications MeSH